As a Data Science and Business Analytics student with a strong interest in turning real-world data into actionable insights. With strong foundation skills in Python, SQL, and statistics, I've contributed to real-world projects with a global team like Omdena's housing affordability analysis. I'm currently looking for an internship in data engineering or analytics where I can apply what I’ve learned and grow through real-world challenges.
Guided and assisted elementary and middle school teachers in integrating AI into their classrooms, helping them understand the applications of 4.0 technology in education. Modern AI tools such as Copilot, Chat GPT, and Adobe Express were used to create engaging and interactive slides, incorporating images, stories, and sounds to enhance students' learning experiences. Introduced Python & Notebooks for educators to explore more advanced AI applications and further integrate AI into teaching methodologies.
Collaborated with cross-functional teams to achieve common goals. Experienced in budgeting and forecasting with department leaders to align with club objectives. Developed compelling sponsorship packages that secured 3 new corporate partners for the I Love English event, resulting in a 15% increase in funding.
Collaborated with a global team to analyze housing affordability in the Greater Parisian Region. Took charge of web scraping and data integration from publicly available sources. Conducted exploratory data analysis (EDA) using Python to uncover key insights on housing costs, income levels, and regional disparities.
This section contains awesome projects that I've developed:
Created a robust web scraping solution that efficiently collects movie data and stores it directly to Google Cloud Platform, enabling availability for data analysis.
Python Selenium GCP Web Scraping Data Collection
Developed a Streamlit application featuring dynamic visualizations of IMDb trends and a sophisticated recommendation system powered by NLP techniques that matches users with films based on content similarity.
Python NLP TF-IDF Streamlit Interactive Dashboards
Built a comprehensive analytics solution that transforms raw sales data into actionable business intelligence, identifying customer segments, forecasting demand patterns, and optimizing inventory management through machine learning.
Python Pycaret Predictive Analytics Business Intelligence Machine Learning
A Tableau dashboard analyzing key performance indicators across Saudi Arabian hospitals. This tool helps healthcare administrators visualize trends, compare facilities, and optimize healthcare delivery through data-driven insights.
Tableau Data Visualization Interactive Dashboard
Featured articles I've written on Medium about data, learning and beyond:
Python Selenium GCP Web Scraping Data Collection
Python Streamlit Interactive Dashboards Plotly CSS
Cloud Computing Cloud Cloud Services
Big Data Benefits of Big Data Analytics
This Flask template was built with by Rodolfo Ferro and customized by Hang Nguyen, under a MIT License.